DocumentCode :
1644474
Title :
Self-Adaptive Service Composition Through Graphplan Repair
Author :
Yan, Yuhong ; Poizat, Pascal ; Zhao, Ludeng
Author_Institution :
Concordia Univ., Montreal, QC, Canada
fYear :
2010
Firstpage :
624
Lastpage :
627
Abstract :
Service composition is nowadays mainly seen as a once-for-all activity. Supporting a dynamic service world, where both available services and needs may change, requires runtime adaptive features for service composition. In this paper we propose a repair technique for internal composition adaptation, as opposed to external adaptation. Moreover, setting up our proposal in the planning framework, we compare our repair technique with reference to re-composition, that is re-planning.
Keywords :
Web services; planning (artificial intelligence); graphplan repair; internal composition adaptation repair technique; self-adaptive service composition; Adaptation model; Artificial intelligence; Generators; Maintenance engineering; Planning; Proposals; Web services;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Web Services (ICWS), 2010 IEEE International Conference on
Conference_Location :
Miami, FL
Print_ISBN :
978-1-4244-8146-0
Electronic_ISBN :
978-0-7695-4128-0
Type :
conf
DOI :
10.1109/ICWS.2010.91
Filename :
5552731
Link To Document :
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